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Gebremedhin AT, Nyadanu SD, Hanigan IC, Pereira G. Maternal exposure to bioclimatic stress and hypertensive disorders of pregnancy in Western Australia: identifying potential critical windows of susceptibility. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:52279-52292. [PMID: 39145911 PMCID: PMC11374825 DOI: 10.1007/s11356-024-34689-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Accepted: 08/07/2024] [Indexed: 08/16/2024]
Abstract
The anthropogenic climate change may impact pregnancy outcomes. Rather than ambient temperature, we aimed to use a composite bioclimatic metric (Universal Thermal Climate Index, UTCI) to identify critical susceptible windows for the associations between bioclimatic exposure and hypertensive disorders of pregnancy (HDPs) risk. Daily UTCI exposure from 12 weeks of preconception through pregnancy was linked to 415,091 singleton pregnancies between 1st January 2000 and 31st December 2015 in Western Australia. Adjusted weekly-specific and cumulative odds ratios (ORs) and 95% confidence intervals (CIs) of gestational hypertension and preeclampsia were estimated with distributed lag non-linear and standard non-linear logistic regressions. Exposures from early pregnancy to week 30 were associated with greater odds of HDPs with critical susceptible windows, particularly elevated at the 1st (10.2 °C) and 99th (26.0 °C) exposure centiles as compared to the median (14.2 °C). The most elevated ORs were 1.07 (95% CI 1.06, 1.08) in weeks 8-18 for gestational hypertension and 1.10 (95% CI 1.08, 1.11) in weeks 11-16 for preeclampsia for the 99th exposure centile. Cumulative exposures associated with HDPs with relatively higher but less precise ORs. The effects of high exposure to HDPs indicated sociodemographic inequalities. The identified critical periods and subpopulations could benefit from climate-related interventions.
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Affiliation(s)
- Amanuel T Gebremedhin
- Curtin School of Population Health, Curtin University, Kent Street, PerthBentley, WA, 6102, Australia
| | - Sylvester Dodzi Nyadanu
- Curtin School of Population Health, Curtin University, Kent Street, PerthBentley, WA, 6102, Australia.
- Education, Culture, and Health Opportunities (ECHO) Ghana, ECHO Research Group International, Aflao, Ghana.
| | - Ivan C Hanigan
- Curtin School of Population Health, Curtin University, Kent Street, PerthBentley, WA, 6102, Australia
- WHO Collaborating Centre for Climate Change and Health Impact Assessment, Faculty of Health Science, Curtin University, Bentley, WA, Australia
| | - Gavin Pereira
- Curtin School of Population Health, Curtin University, Kent Street, PerthBentley, WA, 6102, Australia
- WHO Collaborating Centre for Climate Change and Health Impact Assessment, Faculty of Health Science, Curtin University, Bentley, WA, Australia
- enAble Institute, Curtin University, Perth, Kent Street, Bentley, WA, 6102, Australia
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Xiao H, Li Y, Liu X, Wen Q, Yao C, Zhang Y, Xie W, Wu W, Wu L, Ma X, Li Y, Ji A, Cai T. High ambient temperature may increase the risk of anemia in pregnancy: Identifying susceptible exposure windows. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 926:172059. [PMID: 38556012 DOI: 10.1016/j.scitotenv.2024.172059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 03/16/2024] [Accepted: 03/26/2024] [Indexed: 04/02/2024]
Abstract
Anemia in pregnancy (AIP) is associated with multiple severe maternal and perinatal adverse outcomes. However, there is a lack of evidence on the association between environmental factors and AIP. Aim to explore the association between ambient temperature and the risk of AIP, and identify susceptible exposure windows, we conducted a matched case-control study from 2013 to 2016 in Xi'an, China, which included 710 women with AIP and 1420 women without AIP. The conditional logistic regression model was used to evaluate the association between ambient temperature and AIP at different gestational weeks and gestational months. The association between extreme temperature and AIP was evaluated using the distributed lag nonlinear model (DLNM). We conducted stratified analyses of age, parity, and season of conception, and estimated the interaction between ambient temperature and air pollutants on AIP. Ambient temperature was significantly positively associated with the risk of AIP, and the susceptible exposure windows were 2-25 gestational weeks and 1-6 gestational months, respectively. The strongest effect was observed in the week 8 and month 2, for each 1 °C increase in weekly and monthly mean temperature, the odds ratio (OR) for AIP was 1.038 (95 % confidence interval (CI): 1.022, 1.055) and 1.040 (95 % CI: 1.020, 1.060), respectively. Extreme heat may increase the risk of AIP. Stratified analyses showed that there was no significant difference among different age, parity, and season of conception groups. No significant interaction effect of ambient temperature with air pollution on AIP was found. In summary, high ambient temperature may increase the risk of AIP, and the first and second trimesters may be susceptible exposure windows. Understanding the effect of temperature on pregnant women will be beneficial to reduce the occurrence of AIP.
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Affiliation(s)
- Hua Xiao
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Yunlong Li
- Department of Hematology, Chongqing Hospital of Jiangsu Province Hospital (Qijiang People Hospital), Chongqing 401420, China
| | - Xiaoling Liu
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Qin Wen
- Medical Center of Hematology, Xinqiao Hospital, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), 400037, China
| | - Chunyan Yao
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Yao Zhang
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Weijia Xie
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Wenhui Wu
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Long Wu
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Xiangyu Ma
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Yafei Li
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Ailing Ji
- Department of Digital Health, Chongqing College of Architecture and Technology, Chongqing 401331, China.
| | - Tongjian Cai
- Department of Epidemiology, College of Preventive Medicine, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing 400038, China.
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Zhang L, Wang H, Zu P, Li X, Ma S, Zhu Y, Xie T, Tao F, Zhu DM, Zhu P. Association between exposure to outdoor artificial light at night during pregnancy and glucose homeostasis: A prospective cohort study. ENVIRONMENTAL RESEARCH 2024; 247:118178. [PMID: 38220082 DOI: 10.1016/j.envres.2024.118178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Revised: 12/26/2023] [Accepted: 01/09/2024] [Indexed: 01/16/2024]
Abstract
BACKGROUND Outdoor artificial light at night (ALAN) has been linked to an elevated risk of diabetes, but the available literature on the relationships between ALAN and glucose homeostasis in pregnancy is limited. METHODS A prospective cohort study of 6730 pregnant women was conducted in Hefei, China. Outdoor ALAN exposure was estimated using satellite data with individual addresses at a spatial resolution of approximately 1 km, and the average ALAN intensity was calculated. Gestational diabetes mellitus (GDM) was diagnosed based on a standard 75-g oral glucose tolerance test. Multivariable linear regression and logistic regression were used to estimate the relationships between ALAN and glucose homeostasis. RESULTS Outdoor ALAN was associated with elevated glucose homeostasis markers in the first trimester, but not GDM risk. An increase in the interquartile range of outdoor ALAN values was related to a 0.02 (95% confidence interval [CI]: 0.00, 0.03) mmol/L higher fasting plasma glucose, a 0.42 (95% CI: 0.30, 0.54) μU/mL increase in insulin and a 0.09 (95% CI: 0.07, 0.12) increase in homeostatic model assessment of insulin resistance (HOMA-IR) during the first trimester. Subgroup analyses showed that the associations between outdoor ALAN exposure and fasting plasma glucose, insulin, and HOMA-IR were more pronounced among pregnant women who conceived in summer and autumn. CONCLUSIONS The results provided evidence that brighter outdoor ALAN in the first trimester was related to elevated glucose intolerance in pregnancy, especially in pregnant women conceived in summer and autumn, and effective strategies are needed to prevent and manage light pollution.
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Affiliation(s)
- Lei Zhang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, Hefei, China
| | - Haixia Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, Hefei, China
| | - Ping Zu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, Hefei, China
| | - Xinyu Li
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China; Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, China; Hefei Fourth People's Hospital, Hefei, China; Anhui Mental Health Center, Hefei, China
| | | | - Yuanyuan Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, Hefei, China
| | - Tianqin Xie
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China; Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, China; Hefei Fourth People's Hospital, Hefei, China; Anhui Mental Health Center, Hefei, China
| | - Fangbiao Tao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, Hefei, China
| | - Dao-Min Zhu
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China; Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, China; Hefei Fourth People's Hospital, Hefei, China; Anhui Mental Health Center, Hefei, China.
| | - Peng Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, Hefei, China.
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